Engineering complex tissue-like microgel arrays for evaluating stem cell differentiation

Enrico Guermani; Hossein Shaki; Soumyaranjan Mohanty; Mehdi Mehrali; Ayyoob Arpanaei; Akhilesh K. Gaharwar; Alireza Dolatshahi-Pirouz

doi:10.1038/srep30445

Engineering complex tissue-like microgel arrays for evaluating stem cell differentiation

Enrico Guermani, Hossein Shaki, Soumyaranjan Mohanty, Mehdi Mehrali, Ayyoob Arpanaei, Akhilesh K. Gaharwar, Alireza Dolatshahi-Pirouz

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Abstract

Development of tissue engineering scaffolds with native-like biology and microarchitectures is a prerequisite for stem cell mediated generation of off-the-shelf-tissues. So far, the field of tissue engineering has not full-filled its grand potential of engineering such combinatorial scaffolds for engineering functional tissues. This is primarily due to the many challenges associated with finding the right microarchitectures and ECM compositions for optimal tissue regeneration. Here, we have developed a new microgel array to address this grand challenge through robotic printing of complex stem cell-laden microgel arrays. The developed microgel array platform consisted of various microgel environments that where composed of native-like cellular microarchitectures resembling vascularized and bone marrow tissue architectures. The feasibility of our array system was demonstrated through localized cell spreading and osteogenic differentiation of human mesenchymal stem cells (hMSCs) into complex tissue-like structures. In summary, we have developed a tissue-like microgel array for evaluating stem cell differentiation within complex and heterogeneous cell microenvironments. We anticipate that the developed platform will be used for high-throughput identification of combinatorial and native-like scaffolds for tissue engineering of functional organs.

Original language	English
Journal	Scientific Reports
Volume	6
Pages (from-to)	30445
Number of pages	1
ISSN	2045-2322
DOIs	https://doi.org/10.1038/srep30445
Publication status	Published - 2016

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This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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title = "Engineering complex tissue-like microgel arrays for evaluating stem cell differentiation",

abstract = "Development of tissue engineering scaffolds with native-like biology and microarchitectures is a prerequisite for stem cell mediated generation of off-the-shelf-tissues. So far, the field of tissue engineering has not full-filled its grand potential of engineering such combinatorial scaffolds for engineering functional tissues. This is primarily due to the many challenges associated with finding the right microarchitectures and ECM compositions for optimal tissue regeneration. Here, we have developed a new microgel array to address this grand challenge through robotic printing of complex stem cell-laden microgel arrays. The developed microgel array platform consisted of various microgel environments that where composed of native-like cellular microarchitectures resembling vascularized and bone marrow tissue architectures. The feasibility of our array system was demonstrated through localized cell spreading and osteogenic differentiation of human mesenchymal stem cells (hMSCs) into complex tissue-like structures. In summary, we have developed a tissue-like microgel array for evaluating stem cell differentiation within complex and heterogeneous cell microenvironments. We anticipate that the developed platform will be used for high-throughput identification of combinatorial and native-like scaffolds for tissue engineering of functional organs.",

author = "Enrico Guermani and Hossein Shaki and Soumyaranjan Mohanty and Mehdi Mehrali and Ayyoob Arpanaei and Gaharwar, {Akhilesh K.} and Alireza Dolatshahi-Pirouz",

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doi = "10.1038/srep30445",

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AU - Guermani, Enrico

AU - Shaki, Hossein

AU - Mohanty, Soumyaranjan

AU - Mehrali, Mehdi

AU - Arpanaei, Ayyoob

AU - Gaharwar, Akhilesh K.

AU - Dolatshahi-Pirouz, Alireza

N1 - This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

PY - 2016

Y1 - 2016

N2 - Development of tissue engineering scaffolds with native-like biology and microarchitectures is a prerequisite for stem cell mediated generation of off-the-shelf-tissues. So far, the field of tissue engineering has not full-filled its grand potential of engineering such combinatorial scaffolds for engineering functional tissues. This is primarily due to the many challenges associated with finding the right microarchitectures and ECM compositions for optimal tissue regeneration. Here, we have developed a new microgel array to address this grand challenge through robotic printing of complex stem cell-laden microgel arrays. The developed microgel array platform consisted of various microgel environments that where composed of native-like cellular microarchitectures resembling vascularized and bone marrow tissue architectures. The feasibility of our array system was demonstrated through localized cell spreading and osteogenic differentiation of human mesenchymal stem cells (hMSCs) into complex tissue-like structures. In summary, we have developed a tissue-like microgel array for evaluating stem cell differentiation within complex and heterogeneous cell microenvironments. We anticipate that the developed platform will be used for high-throughput identification of combinatorial and native-like scaffolds for tissue engineering of functional organs.

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Engineering complex tissue-like microgel arrays for evaluating stem cell differentiation

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